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Book cover Nonlinear Control of Fixed-Wing UAVs with Time-Varying and Unstructured Uncertainties

Part of the book series: Springer Tracts in Autonomous Systems ((STRAUS,volume 1))

Abstract

This chapter provides a technical overview and the necessary background for existing controller synthesis methods that have been applied for navigation and control of UAVs. These include linear controllers (PID, LQR, LQG, etc.), backstepping, sliding mode, nonlinear model predictive, adaptive, dynamic inversion, fuzzy logic and neural networks, gain scheduling, \(H_\infty \) and \(\mu \)-synthesis [1, 2]. The distinctive advantages and drawbacks for each technique are investigated with respect to applicability to the family of new generation UAVs with time-varying aerodynamic characteristics.

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Authors and Affiliations

  1. Ritchie School of Engineering and Computer Science, Electrical and Computer Engineering, University of Denver, Denver, CO, USA

    Michail G. Michailidis, Kimon P. Valavanis & Matthew J. Rutherford

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  1. Michail G. Michailidis
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  2. Kimon P. Valavanis
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  3. Matthew J. Rutherford
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Correspondence to Michail G. Michailidis .

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Michailidis, M.G., Valavanis, K.P., Rutherford, M.J. (2020). Literature Review. In: Nonlinear Control of Fixed-Wing UAVs with Time-Varying and Unstructured Uncertainties. Springer Tracts in Autonomous Systems, vol 1. Springer, Cham. https://doi.org/10.1007/978-3-030-40716-2_2

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